GLOBAL C2 INTEGRATION TECHNOLOGIES · 21 hours ago
Mid-Level AI Data Engineer
Global C2 Integration Technologies is looking for a talented and enthusiastic Mid-Level AI Data Engineer to support their growing AI, Data, and Automation portfolio in support of federal and DoD missions. This role serves as a technical cornerstone within project teams, applying strong data engineering fundamentals to enable generative AI and large language models.
AerospaceEducationConsultingTraining
Responsibilities
Design, build, and optimize data pipelines to ingest, clean, normalize, and structure data for generative AI, LLMs, and Retrieval-Augmented Generation (RAG) use cases
Enable reliable, secure access to structured and unstructured data sources supporting AI workflows
Manage and organize large-scale datasets across cloud platforms (AWS, Azure, GCP)
Implement and maintain medallion architectures (Bronze/Silver/Gold) to ensure data quality, lineage, governance, and accessibility
Work with SQL and NoSQL databases to model, query, and load large datasets at scale
Monitor, tune, and maintain high-performance data stores supporting analytics, AI workloads, and reporting
Collaborate closely with data engineers, software engineers, AI engineers, and data scientists to develop operational, agentic AI systems
Participate in technical design reviews and cross-functional solutioning
Support automated deployment pipelines using Infrastructure as Code (IaC), CI/CD frameworks, and containerized environments
Contribute to repeatable, secure, cloud-native deployment patterns
Monitor AI-enabled systems post-deployment
Perform performance tuning and apply best practices for scalability, reliability, and availability
Develop clean, maintainable, and well-documented code aligned with industry best practices and federal standards
Support reproducible development and operational transparency
Stay current on emerging AI, data engineering, and automation technologies
Actively learn from senior engineers and AI architects through mentorship and technical collaboration
Qualification
Required
U.S. Citizenship with eligibility to obtain and maintain a DoD Secret clearance
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, or a related discipline
3-7 years of hands-on experience delivering data engineering, AI, or ML solutions
Strong understanding of ETL/ELT processes and enterprise data platforms, including experience with technologies such as: OpenSearch / Elasticsearch, Kafka, AWS Bedrock, Glue, S3, RDS, EBS, Glacier, Databricks, Snowflake
Experience with vector databases, embeddings, and associated data structures, file formats, APIs, and services (e.g., FAISS, PGVector, OpenSearch/Elasticsearch, Pinecone, Hugging Face, Bedrock Knowledge Bases)
Practical experience working with generative AI, LLMs, tool calling (MCP), and agent-based architectures (A2A)
Familiarity with leading AI platforms and APIs (OpenAI, Anthropic, Gemini, AWS Bedrock, Google Vertex AI)
Experience using CI/CD pipelines (GitHub, GitLab, Jenkins)
Proficiency with modern development environments (VS Code) and AI-assisted coding tools (e.g., Cline, Claude Code)
Strong written and verbal communication skills with a customer-focused mindset
Preferred
Demonstrated curiosity and willingness to experiment with emerging AI capabilities in pursuit of real mission impact
Strong Python proficiency and experience with libraries/frameworks such as: PySpark, Pandas, uv, Pydantic, FastAPI, LangChain, LangGraph, CrewAI, Unstructured
Experience with Infrastructure as Code tools (Terraform, OpenTofu, AWS CDK, CloudFormation)
Experience with agentic AI frameworks and platforms (Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, AgentCore)
Exposure to adjacent disciplines including data science, cloud engineering, platform engineering, or UI/UX development
Familiarity with federal cybersecurity requirements and frameworks (RMF, FedRAMP, NIST)
Company
GLOBAL C2 INTEGRATION TECHNOLOGIES
GLOBAL C2 INTEGRATION TECHNOLOGIES is a consulting firm that provides UAS integration, engineering and TDL support for defense sector.
Funding
Current Stage
Early StageCompany data provided by crunchbase